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python - 将python列表插入数据框列明智

问题描述

我有以下 python 列表，

test_list = 
[ ['CVM', 20010618, 332.5],
['CVM', 20010619, 332.5],
['CVM', 20010620, 330.0],
['CVM', 20010621, 342.5],
['CVM', 20010622, 337.5],
['AEF', 19970102, 18.7489],
['AEF', 19970103, 18.9735],
['AEF', 19970106, 19.5348],
['AEF', 19970107, 19.6471] ]

我想将它连接到axis = 1的数据框中，所以它就像在数据框中一样

<TICKER><DTYYYYMMDD><CLOSE><TICKER><DTYYYYMMDD><CLOSE>
'CVM'     20010619   332.5  'AEF'    19970102   18.7489
'CVM'     20010620   330.0  'AEF'    19970103   18.9735
'CVM'     20010621   342.5  'AEF'    19970106   19.5348
'CVM'     20010622   337.5  'AEF'    19970107   19.6471

我使用了以下代码：

frame = pd.concat(test_list, axis=1, ignore_index=True)

但我收到以下错误

TypeError: cannot concatenate object of type < class 'list' >
    only pd.Series, pd.DataFrame, and pd.Panel (deprecated) objs are valid

标签： pythonpandas

解决方案

首先你转换成一个数据框，然后按股票行列分组，然后我们做concat 

pd.concat([y.reset_index(drop=True) for _, y in pd.DataFrame(test_list).groupby(0)],axis=1)
Out[351]: 
     0           1        2    0         1      2
0  AEF  19970102.0  18.7489  CVM  20010618  332.5
1  AEF  19970103.0  18.9735  CVM  20010619  332.5
2  AEF  19970106.0  19.5348  CVM  20010620  330.0
3  AEF  19970107.0  19.6471  CVM  20010621  342.5
4  NaN         NaN      NaN  CVM  20010622  337.5

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